Accounting & Finance FinTech and Financial Intelligence
Today and Upcoming Events
Profit Reimagined: Navigating the DeFi Landscape Against Traditional Backdrops (1 Mar)
Dive into the world of Decentralized Finance (DeFi) with our insightful seminar, "Profit Reimagined: Navigating the DeFi Landscape Against Traditional Backdrops." This session is dedicated to uncovering how DeFi radically redefines the concept of profit, setting itself apart from traditional financial systems. We will explore the transformative nature of DeFi, examining how its innovative models and technologies offer a stark contrast to conventional profit mechanisms in finance. The seminar aims...
Online Executive Certificate / Diploma Information Seminar - Big Data & FinTech Series (4 Mar 24)
-Executive Certificate in Applied Business Analytics and Decision Optimization 行政人員證書《應用商業分析與決策優化》-Executive Certificate in Interpretation and Visualization of Business Big Data 行政人員證書《商業大數據視覺化及資訊演繹》...
Web3 and Blockchain V (4 Mar)
Today, we stand at the brink of a new era - Web3. Here, data networks empower creators and users alike, enabling the sale and exchange of data while maintaining ownership and privacy. This shift towards decentralization challenges traditional paradigms and opens up a world of possibilities. In the financial sector, Web 3.0 has been a game-changer. Decentralized finance (DeFi) is not just a buzzword but a reality that's redefining FinTech. Coupled with the advent of cryptocurrencies and smart...
How to Design a Mega Sales Dashboard System for a Large Corporation? Part 4 of 4 (13 Mar)
A powerful and effective dashboard design can increase sales data visibility to all levels of management and can also enable management to identify exceptions at ease. Mr. Danny Chan, the speaker, is going to present a series of Mega Sales Dashboard design that targets for large corporations. There are two modules for the Mega Dashboard system: 1. Operation Module 2. Director Module We will break down the system demonstration into four episodes (parts): Here is the rundown for Part 4 of the demonstration series: Mega Dash (Operation Module) Dashboards 1. Director View 2. Director Panel The following is a couple of the sample dashboard screens: The speaker will give illustrations on the underlying data sets of both the operation module and the director module. He will also brief about the tools and techniques required for constructing the dashboards. If you are interested in learning sales management dashboard design from Mr Danny Chan, please register for the webinar. Language: Cantonese (Supplemented with English)
Internal chatbot for staff training (19 Mar 2024)
I'm sure you've heard of ChatGPT by now, but despite its capabilities, it comes with some limitations, such as no access to real-time information, inability to reference corporate internal documents, and a tendency for "hallucination" or generating incorrect or nonsensical information. Tailor-made chatbots utilizing the Retrieval Augmented Generation (RAG) technique can address these challenges by integrating with a company's knowledge base and updating information in real-time to provide accurate...
Confirmed launch for Apr intake! There are practical classes in the computer laboratory. Our seasoned lecturer will discuss Descriptive analytics and data visualization using Microsoft Power BI, Predictive analytics and data modeling, Prescriptive analytics and business decision optimization as well as Managerial dashboard and storytelling. Welcome to your online application!
On completion of the programme, students should be able to
1. describe how to perform business analytics and data wrangling;
2. apply computational tools to extract raw data from web and transform them to valuable managerial information;
3. analyse data for core business functions, interpret and visualize the processed information for operational efficiency; and
4. discuss the applications of web scraping to enhance business decision making.
|Apply Online Now
|Apply Online Now
Days / Time
- Saturday, 1:30pm - 6:30pm
- 30 hours per programme
- Kowloon East Campus
- Hong Kong Island Campus
Modules & Class Details
Course Content :
(1) Web Scraping and Data Analytics
(2) Business Analytics and Data Wrangling
(3) Applications of Business Analytics and Web Scraping
Assessment method: Two in-class exercise + Group Project Presentation
Upon successful completion of the programme, students who have passed the continuous assessment and final assessment with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a Certificate for Module (Business Analytics and Web Scraping)
(1) Mr. W. C. Chan
Mr. W. C. Chan, FRM, is very professional in teaching web scraping using big data and visualize business data for storytelling. He possesses rich experience in financial risk management, information technology and data science and has worked as an IT Manager for over a decade. Being a practitioner in information technology, he is currently a consultant and trainer at a Big Data Consultancy Services Company. He is strong in cloud-based solutions, big data technology, data mining and machine learning.
Mr. Chan has delivered trainings in data science areas, covering R, machine learning, statistics, database programming, AWS cloud architecture and SAS programming for IT professionals and university graduates for over 2 years. He worked as the Head of BI Data Analytics and R&D Team in Li & Fung Group Company, GBG Asia (HK) Limited, IDS Group Ltd. & LF Asia and so on, devoting himself in IT development and project management.
Mr. Chan has obtained a Bachelor of Science Degree in Mathematics from The Chinese University of Hong Kong as well as three Master Degrees, namely, Risk Management Science from The Chinese University of Hong Kong, Quantitative Analysis for Business from City University of Hong Kong and Industrial Logistics Systems from The Hong Kong Polytechnic University.
(2) Ms. Rowena Lai
Ms. Lai is a practitioner in business and data analytics as well as web analytics. With a Bachelor of Science (Major in Mathematics and Minor in Economics) from The Chinese University of Hong Kong, two Master of Science degrees in International Shipping and Transport Logistics as well as Global Supply Chain Management both from The Hong Kong Polytechnic University. She has worked with different industries on business analytics area. Ms. Lai is currently working in a leading bank and has led various projects related to data analytics. With her extended working exposure, she would like to share her academic knowledge and practical experience in data science and analytics.
(3) Mr. Clive Yip
Mr. Yip is a practitioner in Data Analytics. He has 10 years of experience in both Big 4 consulting firms and multinational companies. He is currently working as a Senior Data Analytics Consultant in a leading insurance company, using Python, SQL and other Big Data technologies to analyse and monitor any non-compliance or fraudulent activities. He has a Master’s degree in Information Technology from HKUST and a Bachelor’s degree from the University of Southern California. Before entering the data analytics field, he worked as a financial auditor in Ernst and Young and is a Certified Public Accountant (CPA) in Hong Kong and Canada.
Apr 2024 Schedule
|20 Apr 24 (Sat)
|13:30 - 18:30
|27 Apr 24 (Sat)
|13:30 - 18:30
|4 May 24 (Sat)
|13:30 - 18:30
|11 May 24 (Sat)
|13:30 - 18:30
|18 May 24 (Sat)
|13:30 - 18:30
|25 May 24 (Sat)
|13:30 - 18:30
Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.
Fee & Entry Requirements
HK$150 (Non-refundable)Course Fee
- Course Fee: $9500 per programme (* course fees are subject to change without prior notice)
Applicants should hold an Advanced Diploma, a Higher Diploma or an Associate Degree preferably in the areas of business and statistics (e.g., mathematics, statistics, computer science, IT, engineering, economics or finance) awarded by a recognized institution. Applicants with other equivalent qualifications will be considered on individual merit.
- The CEF Institution Code of HKU SPACE is 100
|Certificate for Module (Business Analytics and Web Scraping)
|COURSE CODE 33C131609
|Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.
Certificate for Module (Business Analytics and Web Scraping)
Online Application Apply Now
Application Form Download Application FormEnrolment Method
HKU SPACE provides 24-hour online application and payment service for students to apply to selected award-bearing programmes and to enrol in most open admission courses (courses enrolled on a first come, first served basis) via the Internet. Applicants may settle the payment by using either "PPS by Internet" (not available via mobile phones), VISA or Mastercard online. Online WeChat Pay, Online AliPay and Faster Payment System (FPS) are also available for continuing enrolment in the same programme, if online service is offered.
For first time enrolment
Complete the online application form
Applicant may click the icon on the top right-hand corner of the programme/course webpage to make online application, and then follow the instructions to fill in the online application form.
Some programmes/courses may admit by selection, and may require applicants to provide electronic copy of any required documents (e.g. proof of qualification) as indicated on the programme/course webpage. Only file format in doc, docx, jpg and pdf are supported.
Make Online Payment
Pay the application or programme/course fees by either using:
"PPS by Internet" - You will need a PPS account and a PPS Internet password. For information on how to open a PPS account and how to set up a PPS Internet password, please visit http://www.ppshk.com.
*Credit Card Online Payment - Course fees can be paid by VISA or Mastercard including the “HKU SPACE Mastercard”.
* HKU SPACE Mastercard cardholders who wish to enjoy 10-month interest free instalment scheme must pay their tuition fees in person at any of our HKU SPACE Enrolment Centres.
To know more about first-time online application/enrolment and payment, please refer to the user guide of Online Application / Enrolment and Payment:
For continuing enrolment in the same programme
Selected programmes offer online continuing enrolment service. Programme staff will inform students if they offer this service and offer further enrolment details.
Online Payment can be made via "PPS by Internet" (not available via mobile phones), VISA or Mastercard, Online WeChat Pay, Online AliPay and Faster Payment System (FPS)
In Person / Mail
For first time enrolment
For first come, first served short courses, complete the Application for Enrolment Form SF26 and bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
[Download Enrolment Form SF26]
Award-bearing and professional courses may require other information. Forms are usually available at the enrolment centres or on request from programme staff. Bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
For continuing enrolment in the same programme
The standard ‘Enrolment/Payment Slip’ is designed for students of award-bearing programmes or remaining programmes in a suite of programmes requiring continuing enrolment and it applies to most programmes.
Students should complete the “Enrolment/Payment Slip” which will be made available by relevant programme staff and return the slip to any HKU SPACE enrolment centre or post it to the relevant programme staff with appropriate fee payment.
Please refer to available Payment Methods for fee payment information. If you are in doubt about the procedures, please check the individual course details, or contact our programme staff or enrolment centres.
Please note the followings for programme/course enrollment:
- Applicants should not leave the online application idle for more than 10 minutes. Otherwise, applicants must restart the application process.
- Only Early Bird Discount is supported for Online Applicants (Application). To enjoy other types of discount, please visit one of our enrolment centres.
- During the online application process, asynchronous application and payment submission may occur. Successful payment may not guarantee successful application. In case of unsuccessful submission, our programme staff will contact you shortly.
- Applicants are reminded that they should only apply for the same programme/course once through counter or online application.
- For online enrolment, a payment confirmation page would be displayed after payment has been made successfully. In addition, a confirmation email would also be sent to your email account. You are advised to keep your payment confirmation for future enquiries.
- Fees paid are not refundable except as statutorily provided or under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment).
- If admission is by selection, the official receipt is not a guarantee that your application has been accepted. We will inform you of the result as soon as possible after the closing date for application. Unsuccessful applicants will be given a refund of programme/course fee if already paid.
The School provides a platform for online services for a selected range of products it offers. While every effort is made to ensure timeliness and accuracy of information contained in this website, such information and materials are provided "as is" without express or implied warranty of any kind. In particular, no warranty or assurance regarding non-infringement, security, accuracy, fitness for a purpose or freedom from computer viruses is given in connection with such information and materials.
The School (and its respective employees and subsidiaries) is not liable for any loss or damage in connection with any online payments made by you by reason of (i) any failure, delay, interruption, suspension or restriction of the transmission of any information or message from any payment gateways of the relevant banks and/or third party merchants for processing credit/debit/smart card or other payment facilitation mechanism; (ii) any negligence, mistake, error in or omission from any information or message transmitted from the said payment gateways; (iii) any breakdown, malfunction or failure of those gateways in effecting online payment service or (iv) anything arisen out of or in connection with the said payment gateways, including but not limited to unauthorised access to or alternation of the transmission of data or any unlawful act not permitted by the law.
1. Cash, EPS, WeChat Pay Or Alipay
Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.
2. Cheque Or Bank draft
Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and the applicant’s name.. You may either:
- bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
- or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying “Course Application” on the envelope. HKU SPACE will not be responsible for any loss of payment sent by mail.
Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.
4. Online Payment
Online application / enrolment is offered for most open admission courses (course enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, continuing students of award-bearing programmes, if their programmes offer online service, may also pay their course fees by Online WeChat Pay, Online Alipay and Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment for details.
- If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolement Centres and avoid making cheque payment under this circustance.
- Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder's credit card account.
- In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
- Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
- Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt sent by mail.
- For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to "HKU SPACE" to any of our enrolment centres.
- Relevant Programmes
- Executive Certificate in Financial Decision Making: Big Data and Machine Learning Executive Certificate in Interpretation and Visualization of Business Big Data Executive Certificate in Applications of Blockchain in Financial Technology Executive Certificate in Applied Business Analytics and Decision Optimization Executive Certificate in Applied AI and Predictive Analytics for Business Executive Certificate in Banking and Financial Technology Executive Certificate in AI and Deep Learning in Quantitative Finance Executive Certificate in Text Analytics and NLP with Financial Technology Certificate for Module (Big Data Governance and Data Compliance) Postgraduate Diploma in Investment Management and Financial Intelligence Postgraduate Diploma in Finance and Data Analytics